Savya Khosla - RankMe

15 papers A* 2A 1Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Stress Tests REVEAL Fragile Temporal and Visual Grounding in Video-Language Models. CoRR Sethuraman TV, Savya Khosla, Aditi Tiwari, Vidya Ganesh, Rakshana Jayaprakash, Aditya Jain, Vignesh Srinivasakumar, Onkar Kishor Susladkar, Srinidhi Sunkara, Aditya Shanmugham, Rakesh Vaideeswaran, Abbaas Alif Mohamed Nishar, Simon Jenni, Derek Hoiem
2025	J	`jnl`	FRAME: Pre-Training Video Feature Representations via Anticipation and Memory. CoRR Sethuraman TV, Savya Khosla, Vignesh Srinivasakumar, Jiahui Huang, Seoung Wug Oh, Simon Jenni, Derek Hoiem, Joon-Young Lee
2025	—	`conf`	MAGNET: Augmenting Generative Decoders with Representation Learning and Infilling Capabilities. ACL (1) Savya Khosla, Aditi Tiwari, Kushal Kafle, Simon Jenni, Handong Zhao, John P. Collomosse, Jing Shi
2025	J	`jnl`	MAGNET: Augmenting Generative Decoders with Representation Learning and Infilling Capabilities. CoRR Savya Khosla, Kushal Kafle, Simon Jenni, Handong Zhao, John P. Collomosse, Jing Shi
2025	A*	`conf`	RELOCATE: A Simple Training-Free Baseline for Visual Query Localization Using Region-Based Representations. CVPR Savya Khosla, Sethuraman TV, Alexander G. Schwing, Derek Hoiem
2025	J	`jnl`	REN: Fast and Efficient Region Encodings from Patch-Based Image Encoders. CoRR Savya Khosla, Sethuraman TV, Barnett Lee, Alexander G. Schwing, Derek Hoiem
2024	J	`jnl`	RELOCATE: A Simple Training-Free Baseline for Visual Query Localization Using Region-Based Representations. CoRR Savya Khosla, Sethuraman TV, Alexander G. Schwing, Derek Hoiem
2024	A*	`conf`	Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action. CVPR Jiasen Lu, Christopher Clark, Sangho Lee, Zichen Zhang, Savya Khosla, Ryan Marten, Derek Hoiem, Aniruddha Kembhavi
2023	J	`jnl`	Survey on Memory-Augmented Neural Networks: Cognitive Insights to AI Applications. CoRR Savya Khosla, Zhen Zhu, Yifei He
2023	A	`conf`	Understanding and Improving Neural Active Learning on Heteroskedastic Distributions. ECAI Savya Khosla, Chew Kin Whye, Jordan T. Ash, Cyril Zhang, Kenji Kawaguchi, Alex Lamb
2023	J	`jnl`	Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action. CoRR Jiasen Lu, Christopher Clark, Sangho Lee, Zichen Zhang, Savya Khosla, Ryan Marten, Derek Hoiem, Aniruddha Kembhavi
2022	J	`jnl`	Interpolated Adversarial Training: Achieving robust neural networks without sacrificing too much accuracy. Neural Networks Alex Lamb, Vikas Verma, Kenji Kawaguchi, Alexander Matyasko, Savya Khosla, Juho Kannala, Yoshua Bengio
2022	J	`jnl`	Neural Active Learning on Heteroskedastic Distributions. CoRR Savya Khosla, Chew Kin Whye, Jordan T. Ash, Cyril Zhang, Kenji Kawaguchi, Alex Lamb
2022	J	`jnl`	S-DCNN: stacked deep convolutional neural networks for malware classification. Multim. Tools Appl. Anil Singh Parihar, Shashank Kumar, Savya Khosla
2021	J	`jnl`	MuRIL: Multilingual Representations for Indian Languages. CoRR Simran Khanuja, Diksha Bansal, Sarvesh Mehtani, Savya Khosla, Atreyee Dey, Balaji Gopalan, Dilip Kumar Margam, Pooja Aggarwal, Rajiv Teja Nagipogu, Shachi Dave, Shruti Gupta, Subhash Chandra Bose Gali, Vish Subramanian, Partha P. Talukdar